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Statistical optimization of crude oil bio-degradation by a local marine bacterium isolate Pseudomonas sp. sp48

机译:统计优化的原油生物降解的本地海洋细菌分离假单胞菌sp。 sp48

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摘要

Pseudomonas sp. sp48, a marine bacterium isolated from Bahary area (Alexandria, Egypt), showed a high potency for oil degradation up to 1.5%. Additionally, it showed an ability to consume aromatic hydrocarbons (phenol & naphthalene) and aliphatic (pentadecane) reaching to 79; 73; 62%, respectively. In the current study, Plackett-Burman factorial design was applied to evaluate culture conditions affecting the degradation potency. Analysis of Plackett-Burman design results revealed that, the most significant variables affecting oil removal were magnesium sulfate, inoculum size, glucose and Triton X-100. To optimize the levels of these significant variables Response Surface Methodology (RSM) was followed. In this respect, the three-level Box–Behnken design was employed and a polynomial model was created to correlate the relationship between the three variables and oil removal. The optimal combinations of the major constituents of media that was evaluated from the non-linear optimization algorithm of EXCEL-Solver was as follows: (w/v%) 1 crude oil, 0.5 peptone, 0.5 yeast-extract, 1 ammonium chloride, 0.7418 D-glucose, 0.5 MgSO4·7H2O, 0.1 Triton X-100 and inoculums size 4.18 ml% in natural sea water at pH 7; 30 °C incubation temperature, 200 rpm for 6 days. The predicted optimum oil removal was 89%, which is 2.4 times more than the basal medium.
机译:假单胞菌从巴哈里地区(埃及亚历山大市)分离出的海洋细菌sp48显示出高达1.5%的高效石油降解能力。此外,它还具有消耗多达79种芳香烃(苯酚和萘)和脂肪族(十五烷)的能力。 73;分别为62%。在当前的研究中,采用了Plackett-Burman因子设计来评估影响降解效力的培养条件。 Plackett-Burman设计结果的分析表明,影响除油效果的最重要变量是硫酸镁,接种量,葡萄糖和Triton X-100。为了优化这些重要变量的水平,采用了响应面方法(RSM)。在这方面,采用了三级Box-Behnken设计,并创建了多项式模型来关联这三个变量与除油量之间的关系。通过EXCEL-Solver的非线性优化算法评估的培养基主要成分的最佳组合如下:(w / v%)1原油,0.5蛋白ept,0.5酵母提取物,1氯化铵,0.7418 pH为7的天然海水中的D-葡萄糖,0.5 MgSO4·7H2O,0.1 Triton X-100和接种量为4.18 ml%。 30°C的孵育温度,200°rpm,6天。预测的最佳除油率为89%,是基础培养基的2.4倍。

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